ED, Innovative Data Offerings and Products
Novartis
August 24, 2026
Remote
United States
Marketing
Key Responsibilities:
- Set the vision, roadmap, prioritization, and adoption strategy for the enterprise data product portfolio, ensuring investments align to business strategy and measurable outcomes.
- Oversee the Innovative Data Products team and the Innovative Data Offerings team, ensuring focus, clarity, and alignment across portfolio priorities, delivery, innovation opportunities, and stakeholder needs.
- Establish product management standards, governance, funding priorities, and operating model across customer, patient, commercial, and foundational data domains.
- Partner with business, analytics, technology, DEO, external data vendors, and technology vendors to drive reusability, reduce duplication, strengthen data asset value, and enable consistent product practices.
- Own product portfolio performance, stakeholder engagement, adoption, and realization of business value.
- Evaluate innovative capabilities to inform build-versus-buy decisions and ensure vendor-enabled solutions align with priorities, governance, and business value goals.
- Define portfolio-level success measures, investment tradeoffs, dependency management, and decision forums.
- Represent the enterprise data product portfolio to senior stakeholders, communicating priorities, progress, risks, value realization, and needed decisions.
Qualifications:
- Education: Bachelor’s or master’s degree in Information Management, Computer Science, Business Administration, or related field.
- 12+ years’ experience in data products, data strategy, analytics, technology, digital transformation, product management, or related enterprise leadership.
- Proven experience leading enterprise data product portfolios and translating strategy into measurable outcomes.
- Strong understanding of product management standards, governance, funding/operating/adoption models, and value realization.
- Demonstrated ability to lead cross-functional teams and influence senior stakeholders across business, analytics, technology, DEO, data organizations, and vendors.
- Strongly preferred: experience in regulated industries (e.g., pharma/healthcare/technology-enabled environments).
- Set the vision, roadmap, prioritization, and adoption strategy for the enterprise data product portfolio, ensuring investments align to business strategy and measurable outcomes.
- Oversee the Innovative Data Products team and the Innovative Data Offerings team, ensuring focus, clarity, and alignment across portfolio priorities, delivery, innovation opportunities, and stakeholder needs.
- Establish product management standards, governance, funding priorities, and operating model across customer, patient, commercial, and foundational data domains.
- Partner with business, analytics, technology, DEO, external data vendors, and technology vendors to drive reusability, reduce duplication, strengthen data asset value, and enable consistent product practices.
- Own product portfolio performance, stakeholder engagement, adoption, and realization of business value.
- Evaluate innovative capabilities to inform build-versus-buy decisions and ensure vendor-enabled solutions align with priorities, governance, and business value goals.
- Define portfolio-level success measures, investment tradeoffs, dependency management, and decision forums.
- Represent the enterprise data product portfolio to senior stakeholders, communicating priorities, progress, risks, value realization, and needed decisions.
Qualifications:
- Education: Bachelor’s or master’s degree in Information Management, Computer Science, Business Administration, or related field.
- 12+ years’ experience in data products, data strategy, analytics, technology, digital transformation, product management, or related enterprise leadership.
- Proven experience leading enterprise data product portfolios and translating strategy into measurable outcomes.
- Strong understanding of product management standards, governance, funding/operating/adoption models, and value realization.
- Demonstrated ability to lead cross-functional teams and influence senior stakeholders across business, analytics, technology, DEO, data organizations, and vendors.
- Strongly preferred: experience in regulated industries (e.g., pharma/healthcare/technology-enabled environments).